Work

The Quality of a Thinker and the Quality of a Semantic Field: Jean-Pol Martin's Theory Architecture in the Age of Artificial Intelligence

Year: 2026

Type: article

Abstract: This working paper argues that in the digital and AI-based knowledge environment, the quality of a thinker can increasingly be recognized through the quality of the semantic field generated by their work. Using Jean-Pol Martin’s theory architecture as an example, the article examines semantic stability, coherence, transferability, productivity, and AI readability as indicators of theoretical quality.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.20742275

Authors: Martin, Jean-Pol, ChatGPT

Language: English

Topic: Scientific Research and Philosophical Inquiry

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7165136064

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